43 citations · 86 across the 4 of their papers we have counts for
4 papers
An Effective Pipeline for a Real-world Clothes Retrieval System
Yang-Ho Ji, HeeJae Jun, Insik Kim +7
In this paper, we propose an effective pipeline for clothes retrieval system which has sturdiness on large-scale real-world fashion data. Our proposed method consists of three comp…
A Benchmark on Tricks for Large-scale Image Retrieval
Byungsoo Ko, Minchul Shin, Geonmo Gu +3
Many studies have been performed on metric learning, which has become a key ingredient in top-performing methods of instance-level image retrieval. Meanwhile, less attention has be…
Combination of Multiple Global Descriptors for Image Retrieval
HeeJae Jun, Byungsoo Ko, Youngjoon Kim +2
Recent studies in image retrieval task have shown that ensembling different models and combining multiple global descriptors lead to performance improvement. However, training diff…
A highly scalable and energy-efficient artificial neuron using an Ovonic Threshold Switch (OTS) featuring the spike-frequency adaptation and chaotic activity
Milim Lee, Youngjo Kim, Seong Won Cho +5
As an essential building block for developing a large-scale brain-inspired computing system, we present a highly scalable and energy-efficient artificial neuron device composed of…